October 24, 2018
InSysBio announces their participation at 19th International Conference on Systems Biology (ICSB 2018) to be held October 28th to November 1st, 2018 in Lyon, France. Two InSysBio posters will be presented:
“SBML viewer is a tool for transformation of systems biology models to human-readable format” by Viktoria Tkachenko and Evgeny Metelkin
in framework of Poster Session “Education for Systems Biologists. Novel methods and tools”
“An algorithm for practical identifiability analysis and confidence intervals evaluation based on constrained optimization” by Ivan Borisov and Evgeny Metelkin
in framework of Poster Session “Methodological developments for Systems Biology. Identifiability”
About InSysBio
InSysBio is a Quantitative Systems Pharmacology (QSP) company located in Moscow, Russia (INSYSBIO LLC) and Edinburgh, UK (INSYSBIO UK LIMITED). InSysBio was founded in 2004 and has an extensive track record of helping pharmaceutical companies to make right decisions on the critical stages of drug research and development by application of QSP modeling. InSysBio’s innovative QSP approach has already become a part of the drug development process implemented by our strategic partners: there are more than 100 completed projects in collaboration with leaders of pharmaceutical industry. For more information about InSysBio, its solutions and services, visit www.insysbio.com.
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04 Oct 2024 16:13
InSysBio to participate in SITC 2024
InSysBio announces its participation in SITC’s 39th Annual Meeting which is to be held from November 6-10, 2024, at George R. Brown Convention Center in Houston, TX, USA. InSysBio team is going to present its Mechanistic modeling services and tools to support development of immunotherapies at Booth #1032 and 3 posters in frames of the Meeting
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16 Oct 2024 19:36
InSysBio to take part in "An Introduction to QSP" event
InSysBio announces its participation in An Introduction to QSP, A UK QSP Network hybrid (in person/online) event which is to be held 17-20hrs 24th October 2024. Oleg Demin Jr, Scientific Director, Oncology & Immuno-Oncology, will discuss the prediction of the first-in-human dose for T-cell engagers using mechanistic modelling
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